AI & Machine Learning Recruitment Agency
Specialist recruitment for organisations building, implementing and scaling artificial intelligence and machine learning capability.
Launch Recruitment is an AI and machine learning recruitment agency connecting organisations with the specialist professionals required to develop, implement and govern intelligent systems.
Our consultants recruit permanent and contract AI professionals across Sydney, Melbourne and wider Australia. We support individual appointments, specialist teams and capability requirements across artificial intelligence, machine learning, generative AI, MLOps, natural language processing, computer vision and AI leadership.
For professionals, we provide access to AI engineer jobs, machine learning engineer jobs and other emerging opportunities with organisations investing in practical AI capability.
Areas of AI & Machine Learning Recruitment Expertise
AI roles can carry similar titles while requiring significantly different technical experience. An organisation developing predictive models needs a different capability mix from one integrating a large language model into an established product or moving experimental models into production.
Launch clarifies the intended application, technology environment, delivery stage and business outcome before approaching the market. This allows our consultants to assess candidates against the work they will own and the conditions in which their expertise has been applied.
AI Engineers
Launch recruits AI engineers who design, build and deploy artificial intelligence systems within commercial and enterprise environments.
Candidate assessment can cover Python, model integration, cloud AI services, data pipelines, APIs, evaluation frameworks and production deployment. We also consider how candidates have translated a business requirement into a reliable technical solution and worked across software, data, product and governance teams.
Roles include AI Engineers, Senior AI Engineers, Applied AI Engineers and Lead AI Engineers.
Machine Learning Engineers
We connect organisations with machine learning engineers who develop, train, evaluate and deploy models that support prediction, classification, recommendation, optimisation and automation.
Relevant capability can include Python, TensorFlow, PyTorch, scikit-learn, feature engineering, model evaluation, cloud machine learning platforms and production monitoring. Our assessment focuses on the candidate’s experience moving models beyond experimentation and maintaining their performance in real operating environments.
Generative AI and LLM Engineers
Launch recruits generative AI engineers and large language model specialists who develop and implement AI applications using foundation models.
Experience may include prompt and context engineering, retrieval-augmented generation, fine-tuning, embeddings, vector databases, model APIs, agentic workflows, evaluation and guardrails. We look for evidence that candidates can balance functionality, reliability, cost, security and user requirements.
Roles include Generative AI Engineers, LLM Engineers, AI Application Engineers and Conversational AI Developers.
MLOps Engineers
We recruit MLOps engineers who establish the platforms, pipelines and practices required to deploy and manage machine learning systems reliably.
Candidate assessment can cover automated model deployment, version control, monitoring, orchestration, containerisation, cloud platforms, CI/CD and model lifecycle management. These specialists help organisations move AI and machine learning initiatives into controlled, repeatable production environments.
Natural Language Processing Specialists
Launch connects organisations with natural language processing specialists who develop systems that interpret, generate and work with human language.
Their experience may span text classification, information extraction, semantic search, conversational AI, speech technologies, language models and document intelligence. We assess the methods, models and datasets candidates have used, alongside the outcomes achieved through their work.
Computer Vision Engineers
We recruit computer vision engineers who develop systems capable of interpreting images, video and other visual information.
Relevant expertise can include image classification, object detection, segmentation, tracking, deep learning, edge deployment and model optimisation. Applications may span automation, infrastructure, healthcare, telecommunications, security, manufacturing and customer experience.
AI Architects and Technical Leaders
Launch sources AI architects and technical leaders who define how artificial intelligence and machine learning capabilities will operate across an organisation.
We assess experience across architecture, platforms, integration, data requirements, security, governance and technical decision-making. These professionals may guide AI teams, establish technical standards and align delivery with wider technology and business priorities.
Roles include AI Solutions Architects, AI Platform Architects, AI Technical Leads, Heads of AI and Machine Learning Leaders.
AI Product, Governance and Responsible AI Specialists
We recruit professionals who connect AI development with product priorities, governance requirements and responsible implementation.
This can include AI Product Managers, Responsible AI Specialists, AI Governance Leads and Model Risk Specialists. Relevant experience may cover use-case prioritisation, product ownership, model oversight, risk assessment, policy development, evaluation standards and coordination across technology, legal, risk and business teams.
Areas of AI & Software Engineering Recruitment Expertise
Effective software hiring requires a clear understanding of the product, architecture, technology environment and work the person will own. Our consultants qualify these requirements before searching the market, helping distinguish between candidates who recognise the relevant technologies and those who have applied them successfully.
Our coverage extends across the software delivery lifecycle, from hands-on development and quality engineering to architecture and engineering leadership.
Software Developers
Launch recruits front-end, back-end and full-stack software developers for digital products, enterprise applications and business platforms.
Roles can require experience across languages and frameworks such as Java, JavaScript, TypeScript, Python, C#, .NET, React, Angular and Node.js. Candidate assessment considers technical proficiency, code quality, testing practices, system experience and evidence of delivering reliable software in production environments.
Software Engineers
Our software engineering recruiters connect organisations with engineers who design, build and improve scalable applications and systems.
We assess capability across software design, architecture, integration, automation, secure coding, testing and production performance. This helps identify engineers who can contribute to the wider reliability and maintainability of a software environment as well as deliver individual features.
AI Application Engineers
Launch recruits AI application engineers who integrate generative AI, large language models and intelligent services into software products and business workflows.
Relevant experience can include model APIs, retrieval-augmented generation, vector databases, intelligent search, agentic workflows, evaluation frameworks and application guardrails. These appointments suit organisations that need to turn AI capability into usable, reliable software.
Roles focused on machine learning model development, training and deployment, MLOps, natural language processing and AI architecture are covered through our dedicated AI & Machine Learning recruitment capability. Data engineering, data science, analytics and the data foundations supporting these systems sit within our Data, Analytics & AI recruitment capability.
Mobile Developers
Launch connects employers with iOS, Android and cross-platform mobile developers across permanent and contract positions.
Our networks include developers working with Swift, Kotlin, React Native and Flutter. Assessment considers platform knowledge, application architecture, performance, testing, release management and experience building accessible, reliable mobile products.
Quality Engineering & Test Automation
Our consultants recruit quality engineers, test automation engineers and Software Development Engineers in Test for modern software delivery environments.
Candidates may bring expertise across automated testing, API testing, integration testing, performance testing, continuous delivery and quality engineering frameworks. We look at how they have improved release confidence, identified risk and embedded effective quality practices within engineering teams.
DevOps & Platform Engineers
Launch recruits DevOps engineers and platform engineers who improve the systems, environments and automation supporting software development.
These roles can require experience across CI/CD, infrastructure as code, cloud platforms, containerisation, Kubernetes, observability, site reliability and developer tooling. Our assessment focuses on the environments candidates have supported and the measurable improvements they have made to delivery, resilience and developer experience.
For infrastructure-led DevOps, cloud platform and site reliability appointments, explore our Infrastructure & Cloud recruitment capability.
Software & Solution Architects
Launch Recruitment sources software architects and solution architects for application development, platform modernisation and systems integration programs.
We assess experience across application architecture, cloud platforms, APIs, security, scalability, integration patterns and technical governance. Strong candidates can explain the implications of architectural decisions and guide delivery across technical teams and business stakeholders.
Engineering Leaders
Our software engineering recruitment capability includes Technical Leads, Development Managers, Engineering Managers and Heads of Engineering.
We identify leaders with the technical credibility to guide engineering decisions and the management capability to build effective teams. Assessment considers delivery ownership, team development, engineering standards, stakeholder engagement and experience leading within a comparable product or technology environment.
AI & Machine Learning Projects We Support
AI capability requirements depend on the organisation’s starting point, the problem being addressed and the maturity of the technology environment. Launch helps clients identify the specialist expertise needed across exploration, development, implementation and ongoing operation.
Building and scaling AI teams
Organisations establishing an AI function need clarity on the roles, seniority and sequence of appointments required.
Launch helps clients assess the available talent market and recruit the technical specialists, architects, product professionals and leaders needed to establish or expand an internal AI capability.
Machine learning development and deployment
Machine learning initiatives require coordinated capability across data preparation, model development, testing, deployment and monitoring.
Launch connects organisations with machine learning engineers, applied AI specialists and MLOps professionals who can take models from development into reliable operational use.
Natural language processing and computer vision
Specialist AI initiatives may require deeper capability in language, speech, image or video technologies.
Launch identifies professionals with relevant technical experience and evidence of applying these methods within comparable operational environments.
Generative AI implementation
Moving generative AI into a practical business environment requires expertise across application development, model selection, integration, evaluation, security and governance.
We recruit professionals who can build generative AI applications, introduce intelligent search and knowledge tools, automate selected workflows and integrate large language models into existing systems.
AI platforms and MLOps capability
As AI adoption increases, organisations need repeatable ways to develop, deploy, monitor and govern models.
We recruit MLOps engineers, AI platform specialists and architects who establish the infrastructure, automation and controls supporting scalable machine learning environments.
Responsible AI and model governance
AI implementation creates questions around model quality, privacy, security, transparency, accountability and ongoing oversight.
We recruit governance, risk and technical specialists who can help establish appropriate frameworks, evaluation processes and controls around the development and use of AI systems.
Why Organisations Choose Launch
Launch has recruited technology professionals since 2006. Our consultants draw on established networks across software engineering, data, cloud, cyber security and technology leadership to identify professionals with specialist AI and machine learning capability.
We begin each search by clarifying the problem the organisation is solving, the maturity of the initiative and the work the appointed person will own. This creates a stronger basis for defining the role, assessing practical experience and distinguishing genuine capability from exposure to AI terminology.
Our recruitment capability covers permanent appointments, specialist contractors, technical leaders and teams required for defined AI and machine learning programs.
ISO 9001:2015
Certified processes
Industry awards
RCSA, APSCo, TIARA, SEEK and more
450,000+ candidates
Specialised candidate database
96%
First-time hire success
Since 2006
Sector
experience
ISO 9001
Certified
processes
Industry awards
RCSA, APSCo,
TIARA, SEEK and more
450,000+
Specialised
candidate database
96%
First-time
hire success
1,000+
Telco
assignments
AI & Machine Learning Recruitment FAQs
What is the difference between an AI engineer and a machine learning engineer?
An AI engineer develops and integrates artificial intelligence capabilities into applications, products and business systems. Their work may span generative AI, model APIs, intelligent workflows, data pipelines and production deployment.
A machine learning engineer focuses more closely on developing, training, deploying and monitoring machine learning models. The responsibilities can overlap, so the required role should be defined around the system being built and the work the person will own.
What is the difference between an AI engineer and an AI application engineer?
An AI engineer may work across model development, machine learning systems, AI architecture and deployment.
An AI application engineer applies software engineering capability to products and workflows that use AI. Their work frequently includes model APIs, retrieval-augmented generation, vector databases, application logic, evaluation and guardrails.
Launch recruits AI application engineers through our Software Engineering capability and model-focused AI engineers through our AI and Machine Learning capability.
What AI and machine learning roles does Launch recruit?
Launch recruits AI Engineers, Machine Learning Engineers, Generative AI Engineers, LLM Engineers, Applied AI Engineers, MLOps Engineers, Natural Language Processing Specialists, Computer Vision Engineers, AI Solutions Architects, AI Product Managers and AI technical leaders.
We support permanent, contract and project-based recruitment across Sydney, Melbourne and wider Australia.
How does Launch assess AI and machine learning candidates?
Launch assesses candidates against the technical requirements, delivery environment and expected outcomes of each appointment.
This can include model development, software engineering, data capability, cloud platforms, deployment, evaluation, MLOps, security, governance and stakeholder communication. We look for evidence of what candidates have built, the decisions they owned, how their work performed and the practical outcome achieved.
Does Launch recruit permanent and contract AI professionals?
Yes. Launch recruits permanent employees and specialist contractors across artificial intelligence and machine learning.
Permanent recruitment can support the development of long-term organisational capability. Contract recruitment can provide specialist expertise for a defined implementation, delivery milestone or period of increased demand.
Where does Launch recruit AI and machine learning professionals?
Launch recruits AI and machine learning professionals across Australia, including Sydney, Melbourne, Brisbane, Perth and regional locations. Our wider technology recruitment capability extends throughout New Zealand and the Asia Pacific.
What skills should employers look for when hiring an AI engineer?
The required skills depend on the system being developed and its stage of maturity. Common requirements include Python, machine learning frameworks, model APIs, cloud AI platforms, data pipelines, evaluation, deployment and monitoring.
Employers should also look for evidence that candidates can apply these capabilities within production environments, communicate technical decisions and connect AI development with a genuine business requirement.
When should an organisation use an AI recruitment agency?
Describe the item or answer the question so that site visitors who are interested get more information. You can emphasize this text with bullets, italics or bold, and add links.An AI recruitment agency can help when an organisation needs specialist expertise, has limited access to established AI talent networks or needs market insight before finalising a role.
Recruitment support can also be valuable when role titles and responsibilities are still unclear. A specialist recruiter can help distinguish between AI engineering, machine learning, software, data, architecture, product and governance requirements before the organisation approaches candidates.
Hire AI & Machine Learning Professionals
Access the specialist capability required to develop, implement and scale artificial intelligence and machine learning systems.
Launch can help define the roles required, assess available talent and develop a recruitment approach suited to your technology environment, business priorities and timeframe.
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